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A spectrum of scale Support for data needs in the sciences & social sciences

This presentation by Jen Ferguson, dated June 19, 2013, delves into various approaches to data management in the sciences and social sciences. It covers critical topics such as data as a resource, collection strategies, and the importance of scalability and risk management. The session emphasizes building connections between expertise, research partnerships, and the necessity of library services in data management. Through examples and discussions, it aims to address key questions related to library roles and institutional support in data initiatives.

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A spectrum of scale Support for data needs in the sciences & social sciences

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  1. A spectrum of scale Support for data needs in the sciences & social sciences Jen Ferguson June 19, 2013 http://www.sxc.hu/photo/690846

  2. What’s the plan? • Highlight several approaches, with examples • Sticking points, scalability, & risk • Nagging questions& discussion

  3. Reference & Instruction • Data: reference & instruction • Information management: consultations &instruction • plans

  4. Data Management Workshops: MIT http://libraries.mit.edu/guides/subjects/data-management/index.html

  5. Frameworks for a Data Management Curriculum: UMass Medical & partners http://library.umassmed.edu/data_management_frameworks.pdf

  6. Data as Collection • Data is a resource, as well as a product • plans

  7. Data as Collection: UIUC • Researchers request data • Data Services Committee vets requests • Data purchased with collections budget • Researchers speak at library brownbag http://www.library.illinois.edu/sc/datagis/purchase/description2012.html

  8. Data as Collection: UIUC • Purchases to date include: • Rat gene sequencing data – Food Science/Nutrition • Satellite imagery – Plant Biology • Village coordinates in India – Geography • Income tax data by zip code – Labor Relations

  9. Liaison Relationships • Connecting expertise / Bridge building • Data management plansplans

  10. Data management plan support • (to name a few!)

  11. Connecting expertise: • Research Ambassadors, VU http://guides.library.vu.edu.au/content.php?pid=239245&sid=1978855

  12. Subject Specialists • Informationists • ‘Covert Ops’pl • a

  13. Informationists • NLM funded supplement to NIH grants • Johns Hopkins – Radiology • UMass Medical – Breast cancer screening • NYU – Auditory research and cancer research • U Rochester – Tobacco intervention • http://escholarship.umassmed.edu/jeslib/vol2/iss1/

  14. ‘Covert Ops’ http://dx.doi.org/10.7191/jeslib.2012.1019

  15. Library Expertise • Scholarly communications • Metadata • Archives & special collections

  16. Metadata Consults: Northeastern Early Caribbean Digital Archive New schema – ASL interpreter videos

  17. Local Infrastructure • Repository building & hosting • Providing resources for data-driven work

  18. Data-friendly institutional repositories Seat-of-pants survey: In place? In process? Someday? Not likely?

  19. A continuum of scalability… R & I Data Collections Liaison Subject Specialist Library Expertise Infrastructure

  20. What do you have to lose? Infrastructure Data Collections Liaison R & I Library Expertise Subject Specialist

  21. Scalability & risk for your institution: • Research & instruction • Data as collection • Liaison relationships (campus partners, DMPs) • Subject specialist • Library expertise (scholcomm, metadata) • Infrastructure (repositories etc.) What do you think?

  22. Some Nagging Questions • Library role • Fine line between toe-stepping & bridge-building • Big hairy projects vs. incessant activity • And, of course: $

  23. None of us can do everything (certainly not well!) • Choose options that play to your strengths Parting thoughts

  24. http://dx.doi.org/10.7191/jeslib.2012.1002 Want more?

  25. Thank you! j.ferguson@neu.edu http://www.sxc.hu/photo/690846

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